17 resultados para Logistic regression mixture models
Resumo:
Background: Self-rated health is a subjective measure that has been related to indicators such as mortality, morbidity, functional capacity, and the use of health services. In Spain, there are few longitudinal studies associating self-rated health with hospital services use. The purpose of this study is to analyze the association between self-rated health and socioeconomic, demographic, and health variables, and the use of hospital services among the general population in the Region of Valencia, Spain. Methods: Longitudinal study of 5,275 adults who were included in the 2005 Region of Valencia Health Survey and linked to the Minimum Hospital Data Set between 2006 and 2009. Logistic regression models were used to calculate the odds ratios between use of hospital services and self-rated health, sex, age, educational level, employment status, income, country of birth, chronic conditions, disability and previous use of hospital services. Results: By the end of a 4-year follow-up period, 1,184 participants (22.4 %) had used hospital services. Use of hospital services was associated with poor self-rated health among both men and women. In men, it was also associated with unemployment, low income, and the presence of a chronic disease. In women, it was associated with low educational level, the presence of a disability, previous hospital services use, and the presence of chronic disease. Interactions were detected between self-rated health and chronic disease in men and between self-rated health and educational level in women. Conclusions: Self-rated health acts as a predictor of hospital services use. Various health and socioeconomic variables provide additional predictive capacity. Interactions were detected between self-rated health and other variables that may reflect different complex predictive models, by gender.
Resumo:
Objetivo: Analizar las características asociadas al riesgo de feminicidio en España entre mujeres expuestas a la violencia de pareja o análogo y su posible asociación con las denuncias a los agresores. Métodos: Se realizó un estudio de casos y controles para el periodo 2010-2011. Los casos, 135 mujeres mayores de edad, asesinadas por su pareja o análogo durante dicho periodo, se identificaron a través de la página web de la Federación de Asociaciones de Mujeres Separadas y Divorciadas, y de los informes del Consejo General del Poder Judicial. Los controles, 185 mujeres expuestas a la violencia de pareja el último año, proceden de la Macroencuesta de Violencia de Género 2011. La asociación entre la denuncia y el riesgo de feminicidio se estimó mediante modelos de regresión logística multivariada. Resultados: No se encontró asociación entre denunciar al agresor y el riesgo de ser asesinada (odds ratio [OR]: 1,38; intervalo de confianza del 95% [IC95%]: 0,68-2,79). Las mujeres inmigrantes expuestas a la violencia de pareja registraron una mayor probabilidad de ser asesinadas (ref.: mujeres españolas; OR: 5,38; IC95%: 2,41-11,99). Esta asociación también se observó en las mujeres que vivían en zonas rurales (ref: zonas urbanas; OR: 2,94; IC95%: 1,36-6,38). Conclusiones: La denuncia judicial al agresor no parece modificar el riesgo de asesinato entre las mujeres expuestas a la violencia de pareja. Las medidas de protección a las mujeres deberían extremarse en las mujeres inmigrantes y las que viven en el medio rural.